842 resultados para Qualitative model of risk management


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Fast development in the operating environment and fierce competition have driven companies to pursue efficiency and success through lean and global supply chains. At the same time overall uncertainty has increased in the business environment and supply chains have become a priority in risk management since their vulnerability may endanger business continuity. Although risk management should start at procurement strategy development phase, proactive contingency planning is also essential because it enables correct reaction and fast changes in process execution in the case of risk realization. This thesis is a case study conducted in the pharmaceutical industry where purchasing and materials management organizations face a number of challenges and limitations that have to be considered in supply risk management. The goal of the study was to discuss the operating environment, and identify and analyze supply risks and potential risk management practices. The study was concluded with suggestions for purchasing strategy development that take risk management considerations into account. This copy is the public version of the thesis.

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More and more companies are interested in implementing knowledge management. However, the majority of knowledge management initiatives will fail to have any significant impact. In this study, theories regarding knowledge management implementation and adoption are investigated further. The objective of this study is to deepen understanding regarding the critical factors that contribute to successful knowledge management adoption in large multinational companies. The study is formulated around the following four research questions: 1. What are the key success and failure factors in knowledge management implementation? 2. How can knowledge management adoption be improved at the individual, group and organizational levels of the company? 3. What are the critical factors that hinder knowledge management adoption in the case company? 4. How can the case company promote the adoption of knowledge management among company personnel? The methodology used in this study is a combination of a literature review and an explanatory, exploratory, qualitative single-case study. The literature review answers the first and second research questions. Based on the literature review, a framework is presented to illustrate the factors contributing to the success of knowledge management implementation. The framework also links together knowledge management implementation and adoption. The third research question is answered by revealing the relevant findings from 21 expert interviews and 2 online questionnaires with 42 respondents in total. By comparing and contrasting the results of the literature review with the findings of the empirical case study, the fourth research question is answered. The concrete outcomes of this study are a framework to elucidate the factors contributing to the success of knowledge management implementation, a case study highlighting the issues that hinder knowledge management adoption within the case company, and recommendations for the case company.

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Työn tavoitteena oli tutkia The Switch Drive Systems Oy:n edellytyksiä globaalille hankintatoiminnalle ja tuotannon aloittamiselle Kiinassa. Lisäksi pyrittiin keräämään empiiristä tietoa ja palautetta yrityksen prosesseista niiden kehittämistä varten. Yrityksen tuotantostrategia perustuu mallitehdaskonseptiin ja yrityksellä on kaksi mallitehdasta Suomessa. Työ keskittyy tutkimaan näiden mallitehtaiden valmiuksia aloittaa globaali ja ulkoistettu sarjatuotanto. Tutkimus suoritettiin empiirisenä tutkimuksena haastattelemalla yhteensä yhdeksää edustajaa yrityksen kolmesta yksiköstä Suomessa. Empiirinen tutkimus perustui riskienhallinnan keinoihin. Kvantitatiivisen tutkimuksen tarkoituksena oli kartoittaa merkittävimmät riskit tarkempaa tarkastelua varten. Kvalitatiivisen tutkimuksen tavoitteena oli löytää syitä merkittävimmille riskeille. Tutkimuksen keskeisimmäksi tulokseksi on saatu lista merkittävimmistä syistä, jotka vaikeuttavat yrityksen tuotantostrategian toteuttamista. Lisäksi tuloksia ovat kvantitatiiviset tulokset merkittävimmistä riskeistä ja niihin liittyvät syyseuraussuhteet.

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ABSTRACT The aim of this study was to evaluate the effects of modifying the maintenance programming of equipment used in sugarcane mechanical harvesting, by transferring actions that can be planned to periods when machines are inactive due to meal breaks and other working shift transitions stoppages. A simulation model was developed to represent the maintenance procedures of combines, haulouts, and other vehicles used by a harvest team. Scenarios were tested using alternatives for interventions such as refueling, lubrication and harvester blade replacement, enabling strategies to be focused towards better utilization of cutting, loading, and transport (CLT) system equipment. As a result, it was possible to remove one combine and two haulouts, while maintaining current daily production. The maintenance time for harvesters, which refers to corrective maintenance and the transfer of remaining interventions for periods of inactivity, was reduced from 10.0% to 3.5% over the useful period. This study indicates that maintenance management in the sugarcane sector enables the expanded use of equipment, leading to the greater productivity of the CLT system.

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The objective of the thesis is to examine the current state of risk management and to determine an appropriate risk management policy for commercial property derived risks in the Russian branch of a Finnish retail trade company. The employed research methodologies are comparative in-depth interviews and empirical value at risk analysis, including portfolio risk decomposition to determine the inter-currency characteristics. For a multinational retail trade company, the commercial property derived risks open up as a diverse combination of financial and non-financial risks with four distinctive interest groups. The research results indicate that geographical diversification across currency regimes provides diversification benefits. The Russian ruble is the most significant single risk component when considering the net investments outside the euro-zone. Decreasing the Russian ruble and Swedish krona exposures are the most effective methods to reduce translation derived risk. Exchange rate volatility varies over time according to idiosyncratic currency regime characteristics, and cost-effective risk management requires comprehensive analysis of the business environment. Profound and proactive risk management methods are found to be pivotal for companies with cross-border operations in order to succeed among international competitors.

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The objective of this research was to describe how Nordic companies manage hazard risks in their operations in Russia and how the local business environment is considered to affect the hazard risks. Research methods used in this research were literature review and expert interviews. Twelve Nordic industrial companies operating in different fields of industry were interviewed. Large Nordic companies typically guide risk management centralized from the parent company on behalf of the whole company group and the risk management standards and policies are integrated in all subsidiaries. Parent companies typically control hazard risk management in Russia by regular risk management reporting, auditing the Russian sites and by training local managers and employees to risk management work. Many companies have experienced several losses in the first years of operating in Russia before the risk management policies have been implemented in Russian subsidiaries. The companies have learned to take local characteristics better into account by experience and most companies are quite satisfied with their current risk management standards in Russia. The interviews indicate that companies experience especially the poor quality of infrastructure, some features in Russian organizational culture and high level of criminality to increase hazard risks in Russia. However, understanding these features and risks in the business environment makes the management of these risks possible. Risks related to infrastructure can be managed in advance by decreasing dependencies of infrastructure and considering the infrastructure quality already when planning the business operations. Also good local network is often considered critical in order to overcome the complications related to infrastructure. Russian personnel has typically different attitude towards risk management than Nordic personnel and neglecting safety and maintenance and concealing losses is more typical in Russia. By training and guiding the local personnel risk management and safety work and desired ways of actions these risks can be decreased. Criminality risks are often managed to certain extent by investing in security, increasing supervising and paying attention to reliability of the employees and other interest groups of the company.

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Data is the most important asset of a company in the information age. Other assets, such as technology, facilities or products can be copied or reverse-engineered, employees can be brought over, but data remains unique to every company. As data management topics are slowly moving from unknown unknowns to known unknowns, tools to evaluate and manage data properly are developed and refined. Many projects are in progress today to develop various maturity models for evaluating information and data management practices. These maturity models come in many shapes and sizes: from short and concise ones meant for a quick assessment, to complex ones that call for an expert assessment by experienced consultants. In this paper several of them, made not only by external inter-organizational groups and authors, but also developed internally at a Major Energy Provider Company (MEPC) are juxtaposed and thoroughly analyzed. Apart from analyzing the available maturity models related to Data Management, this paper also selects the one with the most merit and describes and analyzes using it to perform a maturity assessment in MEPC. The utility of maturity models is two-fold: descriptive and prescriptive. Besides recording the current state of Data Management practices maturity by performing the assessments, this maturity model is also used to chart the way forward. Thus, after the current situation is presented, analysis and recommendations on how to improve it based on the definitions of higher levels of maturity are given. Generally, the main trend observed was the widening of the Data Management field to include more business and “soft” areas (as opposed to technical ones) and the change of focus towards business value of data, while assuming that the underlying IT systems for managing data are “ideal”, that is, left to the purely technical disciplines to design and maintain. This trend is not only present in Data Management but in other technological areas as well, where more and more attention is given to innovative use of technology, while acknowledging that the strategic importance of IT as such is diminishing.

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Contemporary organisations have to embrace the notion of doing ‘more with less’. This challenges knowledge production within companies and public organisations, forcing them to reorganise their structures and rethink what knowledge production actually means in the context of innovation and how knowledge is actually produced among various professional groups within the organisation in their everyday actions. Innovations are vital for organisational survival, and ‘ordinary’ employees and customers are central but too-often ignored producers of knowledge for contemporary organisations. Broader levels of participation and reflexive practices are needed. This dissertation discusses the missing links between innovation research conducted in the context of industrial management, arts, and culture; applied drama and theatre practices (specifically post-Boalian approaches); and learning – especially organising reflection – in organisational settings. This dissertation (1) explores and extends the role of research-based theatre to organising reflection and reflexive practices in the context of practice-based innovation, (2) develops a reflexive model of RBT for investigating and developing practice-based organisational process innovations in order to contribute to the development of a tool for innovation management and analysis, and (3) operationalises this model within private- and publicsector organisations. The proposed novel reflexive model of research-based theatre for investigating and developing practice-based organisational process innovations extends existing methods and offers a different way of organising reflection and reflexive practices in the context of general innovation management. The model was developed through five participatory action research processes conducted in four different organisations. The results provide learning steps – a reflection path – for understanding complex organisational life, people, and relations amid renewal and change actions. The proposed model provides a new approach to organising and cultivating reflexivity in practice-based innovation activities via research-based theatre. The results can be utilised as a guideline when processing practice-based innovation within private or public organisations. The model helps innovation managers to construct, together with their employees, temporary communities where they can learn together through reflecting on their own and each others’ experiences and to break down assumptions related to their own perspectives. The results include recommendations for practical development steps applicable in various organisations with regard to (i) application of research-based theatre and (ii) related general innovation management. The dissertation thus contributes to the development of novel learning approaches in knowledge production. Keywords: practice-based innovation, research-based theatre, learning, reflection, mode 2b knowledge production

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Tämän työn tavoitteena on antaa kuvaus riskinhallintamenetelmistä viidelle välituotekemikaalille, joita käytetään Stora Enson Imatran tehtailla. Välituotekemikaalit ovat mustalipeä, viherlipeä, valkolipeä, natriumbisulfiitti ja natriumsulfiitti. Nämä kemikaalit ovat jo rekisteröityjä ECHA:an ja rekisteröintiin liittyen ECHA:an on toimitettava myös kuvaus riskinhallintamenetelmistä. Työn alussa kuvaillaan työn kannalta olennaiset säädökset ja viranomaiset, jotka valvovat kemikaalien käyttöä ja valmistusta Euroopan Unionin alueella. Tämän jälkeen kerrotaan yleisesti välituotekemikaalien rekisteröintikriteereistä. Työn loppuosa käsittää kuvauksen riskinhallintamenetelmistä jokaiselle kemikaalille. Riskinhallintamenetelmät sisältävät eristyksen teknisin keinoin, menettelytapa- ja valvontatekniikat, johtamistavat ja henkilökunnan koulutuksen ja välituotekemikaalien kuljetuksen. Myös jokaisen kemikaalin ominaisuudet on kuvattu ja lyhyt prosessikuvaus kemikaalien valmistuksesta ja käytöstä on esitetty helpottamaan ymmärtämistä.

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In this Master’s thesis agent-based modeling has been used to analyze maintenance strategy related phenomena. The main research question that has been answered was: what does the agent-based model made for this study tell us about how different maintenance strategy decisions affect profitability of equipment owners and maintenance service providers? Thus, the main outcome of this study is an analysis of how profitability can be increased in industrial maintenance context. To answer that question, first, a literature review of maintenance strategy, agent-based modeling and maintenance modeling and optimization was conducted. This review provided the basis for making the agent-based model. Making the model followed a standard simulation modeling procedure. With the simulation results from the agent-based model the research question was answered. Specifically, the results of the modeling and this study are: (1) optimizing the point in which a machine is maintained increases profitability for the owner of the machine and also the maintainer with certain conditions; (2) time-based pricing of maintenance services leads to a zero-sum game between the parties; (3) value-based pricing of maintenance services leads to a win-win game between the parties, if the owners of the machines share a substantial amount of their value to the maintainers; and (4) error in machine condition measurement is a critical parameter to optimizing maintenance strategy, and there is real systemic value in having more accurate machine condition measurement systems.

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Because of the increased availability of different kind of business intelligence technologies and tools it can be easy to fall in illusion that new technologies will automatically solve the problems of data management and reporting of the company. The management is not only about management of technology but also the management of processes and people. This thesis is focusing more into traditional data management and performance management of production processes which both can be seen as a requirement for long lasting development. Also some of the operative BI solutions are considered in the ideal state of reporting system. The objectives of this study are to examine what requirements effective performance management of production processes have for data management and reporting of the company and to see how they are effecting on the efficiency of it. The research is executed as a theoretical literary research about the subjects and as a qualitative case study about reporting development project of Finnsugar Ltd. The case study is examined through theoretical frameworks and by the active participant observation. To get a better picture about the ideal state of reporting system simple investment calculations are performed. According to the results of the research, requirements for effective performance management of production processes are automation in the collection of data, integration of operative databases, usage of efficient data management technologies like ETL (Extract, Transform, Load) processes, data warehouse (DW) and Online Analytical Processing (OLAP) and efficient management of processes, data and roles.

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Electroacupuncture has been proposed to be a low cost and practical method that allows effective pain management with minimal collateral effects. In this study we have examined the effect of electroacupuncture against the hyperalgesia developed in a model of post-incisional pain in rats. A 1-cm longitudinal incision was made through the skin and fascia of the plantar region of the animal hind paw. Mechanical hyperalgesia in the incision was evaluated 135 min after the surgery with von Frey filaments. The tension threshold was reduced from 75 g (upper limit of the test) to 1.36 ± 0.36 g (mean ± SEM) in control rats. It is shown that a 15-min period of electroacupuncture applied 120 min after surgery to the Zusanli (ST36) and Sanyinjiao (SP6) points, but not to non-acupoints, produces a significant and long-lasting reduction of the mechanical hyperalgesia induced by the surgical incision of the plantar surface of the ipsilateral hind paw. The tension threshold was reduced from 75 to 27.6 ± 4.2 g in animals soon after the end of electroacupuncture. The mechanical threshold in this group was about 64% less than in control. Electroacupuncture was ineffective in rats treated 10 min earlier with naloxone (1 mg/kg, ip), thus confirming the involvement of opioid mechanisms in the antinociceptive effects of such procedure. The results indicate that post-incisional pain is a useful model for studying the anti-hyperalgesic properties of electroacupuncture in laboratory animals.

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This thesis examines the suitability of VaR in foreign exchange rate risk management from the perspective of a European investor. The suitability of four different VaR models is evaluated in respect to have insight if VaR is a valuable tool in managing foreign exchange rate risk. The models evaluated are historical method, historical bootstrap method, variance-covariance method and Monte Carlo simulation. The data evaluated are divided into emerging and developed market currencies to have more intriguing analysis. The foreign exchange rate data in this thesis is from 31st January 2000 to 30th April 2014. The results show that the previously mentioned VaR models performance in foreign exchange risk management is not to be considered as a single tool in foreign exchange rate risk management. The variance-covariance method and Monte Carlo simulation performs poorest in both currency portfolios. Both historical methods performed better but should also be considered as an additional tool along with other more sophisticated analysis tools. A comparative study of VaR estimates and forward prices is also included in the thesis. The study reveals that regardless of the expensive hedging cost of emerging market currencies the risk captured by VaR is more expensive and thus FX forward hedging is recommended

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The objective of the present study was to determine whether sleep deprivation (SD) would promote changes in lymphocyte numbers in a type 1 diabetes model (non-obese diabetic, NOD, mouse strain) and to determine whether SD would affect female and male NOD compared to Swiss mice. The number of lymphocytes in peripheral blood after 24 and 96 h of SD (by multiple platform method) or equivalent period of time in home-cage controls was examined prior to the onset of diabetes. SD for 96 h significantly reduced lymphocytes in male Swiss mice compared to control (8.6 ± 2.1 vs 4.1 ± 0.7 10³/µL; P < 0.02). In male NOD animals, 24- and 96-h SD caused a significant decrease of lymphocytes compared to control (4.4 ± 0.3 vs 1.6 ± 0.5; P < 0.001 and 4.4 ± 0.3 vs 0.9 ± 0.1 10³/µL; P < 0.00001, respectively). Both 24- and 96-h SD induced a reduction in the number of lymphocytes in female Swiss (7.5 ± 0.5 vs 4.5 ± 0.5, 4.4 ± 0.6 10³/µL; P < 0.001, respectively) and NOD mice (4 ± 0.6 vs 1.8 ± 0.2, 1.2 ± 0.4 10³/µL; P < 0.01, respectively) compared to the respective controls. Loss of sleep induced lymphopenia in peripheral blood in both genders and strains used. Since many cases of autoimmunity present reduced numbers of lymphocytes and, in this study, it was more evident in the NOD strain, our results suggest that SD should be considered a risk factor in the onset of autoimmune disorders.

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The amplification of pain long after the initial stimulus may be avoided if the treatment of pain is introduced before its initiation. However, conflicting evidence exists about the efficacy of such preemptive analgesia for the management of postoperative pain. This study compares the efficacy of intraplantar administration of indomethacin (a non-selective inhibitor of cyclooxygenase) and MK886 (an inhibitor of 5-lipoxygenase-activating protein), separately or in combination to produce preemptive analgesia in a model of surgical incisional pain in male Wistar rats. All incised rats (5 to 6 rats per group) had allodynia at 2, 6, and 24 h after surgery as evaluated using von Frey filaments. MK886, but not indomethacin (50 to 200 µg/paw), reduced the allodynia when injected either 1 h before or 1 h after surgery. The effect of preoperative MK886 (160 µg/paw) against incisional allodynia had a magnitude apparently similar to that produced by postoperative MK886. Pre-, but not postoperative MK886 (80 µg/paw) reduced the allodynia but the effect was seen only at 6 h after surgery. In contrast, MK886 (40 µg/paw) intensified the allodynia observed 2 h after the incision either injected before or after surgery. MK886 or indomethacin alone did not provide preemptive analgesia in the model of incisional pain. In contrast, the combination of MK886 with indomethacin reduced the allodynia more effectively when used before than after surgery, thus fulfilling the criteria for preemptive analgesia. In conclusion, preoperative inhibition of the local generation of both prostaglandins and leukotrienes by surgical incision may be an alternative to provide preemptive analgesia.